From 84d6533cb8112f23a34d3de76435a10f4620f4b8 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Mon, 23 Oct 2017 13:43:03 +0000
Subject: [PATCH] Fixed OpenCV usage in the yolo_console_dll.cpp
---
src/network.h | 74 +++++++++++++++++++++++++++++++++----
1 files changed, 66 insertions(+), 8 deletions(-)
diff --git a/src/network.h b/src/network.h
index 1d960c0..693105c 100644
--- a/src/network.h
+++ b/src/network.h
@@ -2,25 +2,64 @@
#ifndef NETWORK_H
#define NETWORK_H
-#include "image.h"
-#include "detection_layer.h"
+#include <stdint.h>
#include "layer.h"
-#include "data.h"
-typedef struct {
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+#include "image.h"
+#include "data.h"
+#include "tree.h"
+
+typedef enum {
+ CONSTANT, STEP, EXP, POLY, STEPS, SIG, RANDOM
+} learning_rate_policy;
+
+typedef struct network{
+ float *workspace;
int n;
int batch;
- int seen;
+ uint64_t *seen;
+ float epoch;
int subdivisions;
- float learning_rate;
float momentum;
float decay;
layer *layers;
int outputs;
float *output;
+ learning_rate_policy policy;
+
+ float learning_rate;
+ float gamma;
+ float scale;
+ float power;
+ int time_steps;
+ int step;
+ int max_batches;
+ float *scales;
+ int *steps;
+ int num_steps;
+ int burn_in;
+
+ int adam;
+ float B1;
+ float B2;
+ float eps;
int inputs;
int h, w, c;
+ int max_crop;
+ int min_crop;
+ float angle;
+ float aspect;
+ float exposure;
+ float saturation;
+ float hue;
+
+ int gpu_index;
+ tree *hierarchy;
#ifdef GPU
float **input_gpu;
@@ -28,7 +67,19 @@
#endif
} network;
+typedef struct network_state {
+ float *truth;
+ float *input;
+ float *delta;
+ float *workspace;
+ int train;
+ int index;
+ network net;
+} network_state;
+
#ifdef GPU
+float train_networks(network *nets, int n, data d, int interval);
+void sync_nets(network *nets, int n, int interval);
float train_network_datum_gpu(network net, float *x, float *y);
float *network_predict_gpu(network net, float *input);
float * get_network_output_gpu_layer(network net, int i);
@@ -36,8 +87,11 @@
float *get_network_output_gpu(network net);
void forward_network_gpu(network net, network_state state);
void backward_network_gpu(network net, network_state state);
+void update_network_gpu(network net);
#endif
+float get_current_rate(network net);
+int get_current_batch(network net);
void free_network(network net);
void compare_networks(network n1, network n2, data d);
char *get_layer_string(LAYER_TYPE a);
@@ -50,11 +104,12 @@
float train_network(network net, data d);
float train_network_batch(network net, data d, int n);
float train_network_sgd(network net, data d, int n);
+float train_network_datum(network net, float *x, float *y);
matrix network_predict_data(network net, data test);
float *network_predict(network net, float *input);
float network_accuracy(network net, data d);
-float *network_accuracies(network net, data d);
+float *network_accuracies(network net, data d, int n);
float network_accuracy_multi(network net, data d, int n);
void top_predictions(network net, int n, int *index);
float *get_network_output(network net);
@@ -72,10 +127,13 @@
void set_batch_network(network *net, int b);
int get_network_input_size(network net);
float get_network_cost(network net);
-detection_layer get_network_detection_layer(network net);
int get_network_nuisance(network net);
int get_network_background(network net);
+#ifdef __cplusplus
+}
+#endif
+
#endif
--
Gitblit v1.10.0